Research article Special Issues

Odor detection threshold (ODT) and odor rejection threshold (ORT) determination of sotolon in Madeira wine: A preliminary study

  • Madeira is a fortified wine, well renowned worldwide. It is during the aging process that its characteristic bouquet is developed, through the formation of specific aromas. Sotolon (3-hydroxy-4,5-dimethyl-2(5H)-furanone) is frequently pointed out as one of the molecules responsible for the aroma of the finest Madeiras. The present work serves as a preliminary insight on the sensorial impact of this compound in Madeira wine. The odor detection threshold of sotolon in a sweet-type Madeira was obtained by the 3-Alternative Forced Choice method. The estimated threshold value was obtained by 19 non-trained and non-expert panelists, within the spiked range 4–314 µg/L. An odor threshold of 112 µg/L was obtained using a 3-year-old Madeira with 6.3 ± 0.4 µg/L endogenous sotolon. This result is about 6-fold higher than those previously reported for other fortified wines. A Paired Preference test was chosen to determine the concentration at which the panelists would reject the wine spiked with sotolon. Nineteen panelists assessed a series of spiked concentrations ranging from 253–3464 µg/L. Within this range, it is not possible to define the concentration value from which the aroma of sotolon it is no longer pleasant. Thus, an odor rejection threshold could not be obtained. Indeed, the study also suggests that sotolon does not become unpleasant at higher concentrations.

    Citation: João M. Gaspar, Vanda Pereira, and José C. Marques. Odor detection threshold (ODT) and odor rejection threshold (ORT) determination of sotolon in Madeira wine: A preliminary study[J]. AIMS Agriculture and Food, 2018, 3(3): 172-180. doi: 10.3934/agrfood.2018.3.172

    Related Papers:

    [1] Soleil Chahine, Anthony Z. Tong . Effect of climatic conditions on organic acid composition of some wines obtained from different sources. AIMS Agriculture and Food, 2019, 4(1): 27-40. doi: 10.3934/agrfood.2019.1.27
    [2] Nur Fajriani Suaib, Didah Nur Faridah, Dede Robiatul Adawiyah, Nuri Andarwulan . Semiquantification of volatile compounds and identification of potential volatile markers and dry aroma from robusta second-crack roasted coffee processed from several post-harvest processing. AIMS Agriculture and Food, 2025, 10(1): 74-96. doi: 10.3934/agrfood.2025005
    [3] Irene Dini, Antonello Senatore, Daniele Coppola, Andrea Mancusi . Validation of a rapid test to dose SO2 in vinegar. AIMS Agriculture and Food, 2023, 8(1): 1-24. doi: 10.3934/agrfood.2023001
    [4] Siska Septiana, Nancy Dewi Yuliana, Boy Muchlis Bachtiar, Christofora Hanny Wijaya . Aroma-active compounds of Melaleuca cajuputi essential oil, a potent flavor on Cajuputs Candy. AIMS Agriculture and Food, 2020, 5(2): 292-306. doi: 10.3934/agrfood.2020.2.292
    [5] Emmanuel Oladeji Alamu, Busie Maziya-Dixon, Bukola Olaniyan, Ntawuruhunga Pheneas, David Chikoye . Evaluation of nutritional properties of cassava-legumes snacks for domestic consumption—Consumer acceptance and willingness to pay in Zambia. AIMS Agriculture and Food, 2020, 5(3): 500-520. doi: 10.3934/agrfood.2020.3.500
    [6] Cíntia Sorane Good Kitzberger, Maria Brígida dos Santos Scholz, João Batista Gonçalves Dias da Silva, Marta de Toledo Benassi, Luiz Filipe Protasio Pereira . Free choice profiling sensory analysis to discriminate coffees. AIMS Agriculture and Food, 2016, 1(4): 455-469. doi: 10.3934/agrfood.2016.4.455
    [7] Celale Kirkin, Seher Melis Inbat, Daniel Nikolov, Sabah Yildirim . Effects of tarragon essential oil on some characteristics of frankfurter type sausages. AIMS Agriculture and Food, 2019, 4(2): 244-250. doi: 10.3934/agrfood.2019.2.244
    [8] Dody Dwi Handoko, Anisa Maharani Kaseh, Laras Cempaka, Wahyudi David, Bram Kusbiantoro, Afifah Zahra Agista, Yusuke Ohsaki, Hitoshi Shirakawa, Ardiansyah . Effects of household-scale cooking on volatile compounds, sensory profile, and hypotensive effect of Kenikir (Cosmos caudatus). AIMS Agriculture and Food, 2023, 8(1): 198-213. doi: 10.3934/agrfood.2023011
    [9] Daniele Asioli, Rungsaran Wongprawmas, Erika Pignatti, Maurizio Canavari . Can information affect sensory perceptions? Evidence from a survey on Italian organic food consumers. AIMS Agriculture and Food, 2018, 3(3): 327-344. doi: 10.3934/agrfood.2018.3.327
    [10] Cíntia Sorane Good Kitzberger, David Pot, Pierre Marraccini, Luiz Filipe Protasio Pereira, Maria Brígida dos Santos Scholz . Flavor precursors and sensory attributes of coffee submitted to different post-harvest processing. AIMS Agriculture and Food, 2020, 5(4): 700-714. doi: 10.3934/agrfood.2020.4.700
  • Madeira is a fortified wine, well renowned worldwide. It is during the aging process that its characteristic bouquet is developed, through the formation of specific aromas. Sotolon (3-hydroxy-4,5-dimethyl-2(5H)-furanone) is frequently pointed out as one of the molecules responsible for the aroma of the finest Madeiras. The present work serves as a preliminary insight on the sensorial impact of this compound in Madeira wine. The odor detection threshold of sotolon in a sweet-type Madeira was obtained by the 3-Alternative Forced Choice method. The estimated threshold value was obtained by 19 non-trained and non-expert panelists, within the spiked range 4–314 µg/L. An odor threshold of 112 µg/L was obtained using a 3-year-old Madeira with 6.3 ± 0.4 µg/L endogenous sotolon. This result is about 6-fold higher than those previously reported for other fortified wines. A Paired Preference test was chosen to determine the concentration at which the panelists would reject the wine spiked with sotolon. Nineteen panelists assessed a series of spiked concentrations ranging from 253–3464 µg/L. Within this range, it is not possible to define the concentration value from which the aroma of sotolon it is no longer pleasant. Thus, an odor rejection threshold could not be obtained. Indeed, the study also suggests that sotolon does not become unpleasant at higher concentrations.


    1. Introduction

    Madeira wine is a well-known fortified wine (17 to 22% alcohol by volume (ABV)), which comes from the small volcanic islands of the Portuguese archipelago of Madeira, situated in the Atlantic Ocean. The production of Madeira can be distinguished from other wines mainly due to its vinification process and unusual aging methods. White grape varieties, like Sercial, Verdelho, Bual and Malvasia (or Malmsey), commonly called as "noble" grape varieties, are usually used to produce high-quality Madeira, in different styles (Sercial produces the driest style while Malvasia produces the sweetest style). However, most of Madeira wine's production is derived from the red-grape Tinta Negra, which can be used to produce the different styles of Madeira: dry, medium-dry, medium-sweet, and sweet. The alcoholic fermentation process is conducted by indigenous yeasts and is ceased by fortification, adding vinous alcohol 96% ABV. In this sense, depending on the moment when fortification is done, different wine styles can be obtained. After vinification, Madeira is oxidatively aged under unique conditions. The wines can, firstly, follow the estufagem process, in which wines are artificially heated to about 45 ˚C in stainless steel tanks, for at least 3 months, followed by an aging period in wood casks. If the fortified wine has exceptional characteristics, it can exclusively follow the canteiro process, in which it rests, for at least 3 years, in oak casks placed in the producer's warehouses exposed to natural heating. During both aging processes, important changes take place. Non-enzymatic browning reactions occur, since favorable conditions for its occurrence are met. This kind of reactions play an important role in the development of key odorant compounds, characterizing the typical bouquet of Madeira wine [1,2].

    Sotolon (3-hydroxy-4, 5-dimethyl-2(5H)-furanone) is a powerful odorant compound with caramel to curry-like notes, characteristic of older Madeira wines, and it is usually considered a key-aroma compound of these fortified wines [3]. Its positive contribution to the aroma of Madeira wine is also reported in other wines such as Vin Jaunes [4,5], Port wine [6] and French fortified wines [7]. On the other hand, sotolon is considered to give an off-flavor character to prematurely aged dry white wines [8]. The formation pathways in wine are not well elucidated. Yet, it is recognized that sotolon formation in Madeira wine is highly dependent on aging time and sugar content [9]. Despite being identified as a key-aroma of Madeira wine, the odor threshold of sotolon in this fortified wine has not yet been established.

    The detection threshold is defined as being the minimum value of a sensory stimulus needed to give rise to a sensation [10]. The difference threshold is usually determined when the control sample already contains the stimulus in study. In fact, the detection threshold can be considered as a kind of difference threshold measurement, in which the control sample doesn't contain the stimulus, or its presence is unknown [11]. In case of threshold determinations in complex matrices, such as beer or wine, the detection and difference thresholds are generally considered the same entity [12,13]. The ability to detect a stimulus is influenced by physiological factors related to the assessors [14]. Factors such as the level of training and expertise of the panel performing the sensory tests will also influence the perception of a stimulus [15]. Depending on the purpose of the sensory test, the type of panel may be chosen accordingly. A common procedure for the odor detection threshold (ODT) or difference threshold determinations involves the so-called "ascending forced choice method of limits" [16]. The 3-Alternative Forced Choice (3-AFC) method is a type of triangular test that consists of an ascending concentration series of presentations, each containing one target sample with the target stimulus and two identical control samples, containing the media without the stimulus. In this method, the panelist is required to identify the sample with the target stimulus or to discriminate the sample that differs from the others. Even if the panelist can't discriminate, a guess must be made. The American Society for Testing and Materials (ASTM) E679 standard practice describes the use of the 3-AFC method for a rapid and reliable determination of the detection threshold of a stimulus from 50 to 100 3-AFC presentations [14]. This practice prescribes the best estimate threshold (BET) detection method that is based on the correct and/or incorrect response pattern of the panel rather than the conventional threshold, usually determined as the corresponding concentration when 50% of the panelists, above chance, can detect the stimulus. The BET is then obtained by taking the geometric mean of the concentrations at which the panelists' responses change from incorrect to consistently correct.

    Considering that sotolon is reported as imparting a pleasant odor to fortified wines and unpleasant to white wines and that an odorant stimulus may exhibit a pleasant scent at lower concentration levels while becoming unpleasant at higher levels it becomes relevant to study the odor rejection threshold (ORT). Prescott et al. [17] proposed the concept of consumer rejection threshold (ORT evaluation by a consumer panel) as a mean to determine the point at which the concentration level of a compound becomes unpleasant. These authors investigated the ORT of 2, 4, 6-trichloroanisole which is responsible for the cork taint defect in white wines. The ORT determination uses the Paired Preference test which is based on the Paired Comparison test method described in the International Organization for Standardization (ISO) 5495 [18]. It follows a similar practice to the 3-AFC method but only uses two samples: One target sample and one control sample. The sensory analysis is translated into statistical language establishing a null hypothesis (H0) that a distinction cannot be made between the two samples in order of preference (there is an equal probability of 0.5 that a panelist will randomly select sample A or sample B). Statistically, the preference test is a two-sided test, thus the alternative hypothesis is written as PA ≠ PB (PA > PB or PA < PB). At a 5% significance level, the null hypothesis is rejected if the number of selections for one sample is at least equal to that expressed in the statistical tables for the Paired Preference test [16,17].

    The present work serves as an attempt to estimate the sotolon's ODT in sweet Madeira wine by determining the point from which sotolon's concentration becomes olfactory perceptible. Additionally, it was also intended to evaluate if there is a sotolon concentration level that becomes unpleasant in sweet Madeira wine.


    2. Materials and methods


    2.1. Panelists

    Non-trained and non-expert individuals from the University of Madeira, including students and staff personnel, were asked to participate in the study. Twenty-two assessors (13 females and 9 males) aged between 21 and 62 years old accepted to participate in the study as volunteers, providing an informed-consent statement by email. Participants were also asked to fill a short online screening questionnaire, to characterize the participating panel. Only 16 assessors responded to the questionnaire. According to the responses, the majority (69%) had previously participated in similar sensory tests. Most of the assessors rarely drink fortified wine (69%), while 25% were occasional drinkers (a few times a month) and of these, 25% occasionally drink Madeira wine, while the remaining rarely or never drink it. Additionally, 31% identified themselves as "having some knowledge about wine in general", 31% as "interested in wine", 19% as being "consumers only" and 19% didn't identify themselves in any of the presented categories.


    2.2. Wine samples

    Two commercial wines were locally bought and used for the sensory tests. A 3-year-old sweet Madeira wine was used for the ODT evaluation, holding low levels of sotolon (6.3 ± 0.4 µg/L), as is required for ODT assessments. A wine with higher aroma complexity was used for the ORT assessment, a 5-year-old sweet Madeira wine holding 174 ± 6 µg/L. This kind of wines are blends and are mainly produced from the Tinta Negra grapes. The sotolon concentration of these base wines (non-spiked wine) was determined by liquid chromatography-mass spectrometry (LC-MS/MS). The sotolon extraction and quantification followed an optimized and validated in-house methodology (unpublished method). The analysis was carried out in the LCMS-8040 (Shimadzu, Japan).

    A 100 mg/L stock solution of sotolon (SAFC, St. Louis, MO, USA) in synthetic wine (6 g/L tartaric acid; 18% ethanol; pH 3.50) was used to spike the wine samples in use during the tests. For the ODT determination, a concentration series was established with reference to the previously reported threshold for sotolon in Port wine [6]. To prepare the spiked solutions, the following six increasing concentrations were added to the 3-year-old wine: 4, 14, 34, 74,154 and 314 µg/L. For the ORT assessment five 2-fold concentration scale-steps, ranging from 253–3464 µg/L, were prepared by spiking the 5-year-old sweet wine with the appropriate amounts of sotolon standard stock solution.


    2.3. Sensory test

    Forced choice tests were used. The sensory evaluation tests were conducted in a room free of odors at the University of Madeira. Each sensory study (ODT and ORT) was composed of 4 sessions (2 sessions per day for 2 consecutive days) using the same assessors whenever possible. Panelists were also asked not to eat, drink or smoke during the 30 min prior to the testing. As aforementioned, a set of 22 individuals agreed to participate in the sensory tests, however not all were available to contribute for both tests.


    2.3.1. ODT

    The 3-AFC method described in the ASTM E679 standard practice was used [14]. From the initial set of 22 participants, 19 panelists (11 females and 8 males, aged between 21 to 62 years old) have performed the ODT sensory tests. Most panelists (90%) completed the sensory test at least twice (during two sessions) and a total of 318 3-AFC presentations were obtained. Six sets of three coded samples containing 20 mL of wine were prepared in ISO tasting glasses: two control samples (non-spiked wine) and one sample spiked with sotolon per set. Assessors were asked to sniff each triad of samples, starting with the presentation of the lowest concentration (as conventional for an ascending forced choice method of limits) having to choose the sample that was different from the other two. As the method employed forced choice, each assessor was required to guess when he/she could not discriminate between the samples. The order of presentation of the samples was randomized for each triad and in every other session. Each assessor completed the evaluation of all six concentrations scale-steps of each set and responses were collected in a paper form.


    2.3.2. ORT

    The ORT analysis was done following the procedure of Prescott et al. [17] using a Paired Preference test based on the ISO 5495 standard practice [18]. From the set of 22 participants, another group of 19 panelists (12 females and 7 males, aged between 21 to 62 years old) have performed the ORT evaluation tests. Replication tests were made to obtain a sufficient amount of evaluations. Proper randomization was applied between replicate sessions. The procedure was the same as for ODT, but this time only five sets of two coded samples were used: one control sample (non-spiked wine) and one spiked sample. Assessors were asked to sniff each pair of samples, starting with the presentation of the lowest concentration, having to choose the sample that was preferred. As the method employed forced choice, each assessor was required to guess when he/she could not discriminate or had no preference for one of the samples. Each assessor completed the evaluation for all five concentrations scale-steps of each set and responses were collected in a paper form.


    2.4. Data analysis


    2.4.1. ODT

    Each individual BET was determined by taking the geometric mean of the highest incorrect concentration and the next correct concentration. For the panelists who incorrectly identified the spiked sample at the highest concentration, the individual BET was determined by taking the geometric mean between the highest concentration tested and the next higher (hypothetical) concentration. Similarly, for the panelists who got a whole run of correct responses, the BET was determined by taking the geometric mean between the lowest and the next lower (hypothetical) concentration. Then, the final individual BETs were calculated as the arithmetic mean of each panelist replicant. The group BET was finally calculated as the geometric mean of all individual BETs.


    2.4.2. ORT

    The preference data for sotolon stimulus was collected and analyzed, and the proportion of panelists preferring the control sample was plotted against the sotolon concentration. The minimum responses necessary to establish a significative preference for one of the samples at a 5% significance level was 32 out of 48 (or 67% of the total responses) [17].


    3. Results and discussion


    3.1. ODT

    The cumulative proportion of assessors that correctly identified the wine samples containing the sotolon stimulus at each tested concentration scale-step is depicted in Figure 1.

    Figure 1. Proportion of assessors that correctly identified the wine sample spiked with sotolon at the different concentration scale-steps evaluated in the study.

    Above 154 µg/L added sotolon, more than 68% of the panel chose correctly. These results are a representation of the raw data obtained during the test and include correct responses that may have been obtained by guessing. Using the procedure described by ASTM E697 practice this data can be processed to give the BET for sotolon's stimulus in sweet Madeira wine. Figure 2 represents the distribution of the obtained individual BETs.

    Figure 2. Distribution of the individual best estimate thresholds (BETs) for the detection of sotolon in sweet Madeira wine.

    The group BET, calculated by the geometric mean of all the individual BETs, was 112 µg/L added sotolon, with a log10 standard deviation of 0.36. This threshold value was obtained in a sweet-type Madeira containing 6.3 ± 0.4 µg/L of endogenous sotolon. Despite most individual BETs being within 134–219 µg/L, they ranged from 23 to 444 µg/L, which highlights the differences between panelist's sensitivity level. These differences can also result from many other factors besides assessor's sensory abilities, such as fatigue, lack of training and repeated exposure to the stimulus, which can influence the results. The obtained ODT value is about 6-fold higher than the ODT of sotolon obtained by Silva Ferreira et al. [6] for Port wine. Although Port and Madeira are both fortified wines, their production processes impart differences in the bouquet of each wine, which may have implications in sotolon's ODT. Thus, this discrepancy could be due to matrix effects. In fact, several studies have shown that the nature of the wine matrix influences the threshold determinations, affecting the volatility and perception of the stimulus [18,19,20]. However, it should be kept in mind that caution should be taken when comparing threshold data obtained using different sensory analysis methods [11,21].


    3.2. ORT

    The Paired Preference test was used to determine the ORT, as previously described, and the results were translated into statistical language. Figure 3 illustrates the proportion of preference responses given by the panelists for each tested concentration. The minimum responses necessary to establish a significative preference for one of the samples at 5% significance level is 32 (67%), which is represented in Figure 3 by the dashed line. During these tests, the maximum preference responses for the non-spiked sample was lower than 46% at any of the tested scale-steps. Thus, this result suggests that samples spiked with sotolon were not rejected by this panel since non-spiked wines were never chosen as preferred by at least 67% of the panel.

    Figure 3. Proportion of preference responses given by the panelists for the non-spiked sample. The dashed line indicates the 5% significance criterion according to the binomial distribution for the Paired Preference tests.

    4. Conclusions

    The study presents a preliminary study about the ODT and ORT estimates of sotolon in Madeira wines. Indeed, this is the first study reporting threshold data for sotolon in Madeira wine. From 3-AFC evaluations of 19 non-trained panelists, an ODT value of 112 µg/L was obtained for sotolon in sweet Madeira wine, which is quite above the values previously reported for other fortified wines. Furthermore, the panel did not find the spiked wine with sotolon unpleasant at any concentration level within the concentration range 253.4–3464.2 µg/L. Thus, this result suggests that sotolon does not become unpleasant in these wines, even at higher concentrations.

    This study can also be used as a base to determine at which concentration level sotolon has an influence on the overall aroma of Madeira wines. Further studies will be developed to estimate the ODT of sotolon in different styles of Madeiras, namely using an expert panel.


    Acknowledgments

    Vanda Pereira (Post Doc fellowship) is thankful to the Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação for the financial support through their grants in the scope of the project M1420-09-5369-FSE-000001. The financial support was given by the European Regional Development Fund (ERDF) (+Conhecimento program, VALIMED project, MADFDR-01-0224-FEDER-000006). The authors are thankful to the sensory panelists for their kind contribution.


    Conflict of interest

    All authors declare no conflicts of interest in this paper.


    [1] Pereira V, Albuquerque FM, Silva Ferreira AC, et al. (2011) Evolution of 5-hydroxymethylfurfural (HMF) and furfural (F) in fortified wines submitted to overheating conditions. Food Res Int 44: 71–76. doi: 10.1016/j.foodres.2010.11.011
    [2] Pereira V, Cacho J, Marques JC (2014) Volatile profile of Madeira wines submitted to traditional accelerated ageing. Food Chem 162: 122–134. doi: 10.1016/j.foodchem.2014.04.039
    [3] Oliveira E Silva H, Guedes De Pinho P, Machado BP, et al. (2008) Impact of forced-aging process on Madeira wine flavor. J Agric Food Chem 56: 11989–11996. doi: 10.1021/jf802147z
    [4] Martin B, Etievant PX, Le Quere JL, et al. (1992) More clues about sensory impact of sotolon in some flor sherry wines. J Agric Food Chem 40: 475–478. doi: 10.1021/jf00015a023
    [5] Collin S, Nizet S, Claeys Bouuaert T, et al. (2012) Main odorants in jura flor-sherry wines. Relative contributions of sotolon, abhexon, and theaspirane-derived compounds. J Agric Food Chem 60: 380–387.
    [6] Silva Ferreira AC, Barbe JC, Bertrand A (2003) 3-hydroxy-4,5-dimethyl-2(5H)-furanone: A key odorant of the typical aroma of oxidative aged Port wine. J Agric Food Chem 51: 4356–4363. doi: 10.1021/jf0342932
    [7] Cutzach I, Chatonnet P, Dubourdieu D (1998) Rôle du sotolon dans l'arôme des vins doux naturels. Influence des conditions d'élevage et de vieillissement. J Int des Sci la Vigne du Vin 32: 223–233.
    [8] Silva Ferreira AC, Hogg T, Guedes De Pinho P (2003) Identification of key odorants related to the typical aroma of oxidation-spoiled white wines. J Agric Food Chem 51: 1377–1381. doi: 10.1021/jf025847o
    [9] Câmara JS, Marques JC, Alves MA, et al. (2004) 3-hydroxy-4,5-dimethyl-2(5H)-furanone levels in fortified Madeira wines: Relationship to sugar content. J Agric Food Chem 52: 6765–6769. doi: 10.1021/jf049547d
    [10] ISO, (2008) ISO 5492:2008. Sensory analysis–Vocabulary. Geneva, Switzerland: International Organization for Standardization.
    [11] Lawless HT, Heimann H (2010) Sensory Evaluation of Food: Principles and Practices, 2 Eds., New York: Springer, 125–145.
    [12] Brown DGW, Clapperton JF, MeilGaard MC, et al. (1978) Flavor thresholds of added substances. J Am Soc Brew Chem 36: 73–80.
    [13] Lundahl DS, Lukes BK, McDaniel MR, et al. (1986) A semi-ascending paired difference method for determining sensory thresholds of added substances to background media. J Sens Stud 1: 291–306. doi: 10.1111/j.1745-459X.1986.tb00179.x
    [14] ASTM International, (2004) Standard practice E679-04. Standard practice for determination of odor and taste thresholds by a forced-choice ascending concentration series method of limits. West Conshohocken, PA: American Society for Testing and Materials.
    [15] Tempere S, Cuzange E, Malak J, et al. (2011) The training level of experts influences their detection thresholds for key wine compounds. Chemosens Percept 4: 99–115. doi: 10.1007/s12078-011-9090-8
    [16] Lawless HT (2010) A simple alternative analysis for threshold data determined by ascending forced-choice methods of limits. J Sens Stud 25: 332–346. doi: 10.1111/j.1745-459X.2009.00262.x
    [17] Prescott J, Norris L, Kunst M, et al. (2005) Estimating a 'consumer rejection threshold' for cork taint in white wine. Food Qual Prefer 16: 345–349. doi: 10.1016/j.foodqual.2004.05.010
    [18] ISO, (2005) ISO 5495:2005. Sensory analysis–Methodology–Paired comparison test. Geneva, Switzerland: Interational Organization for Standardization, 2005.
    [19] ISO, (2005) ISO 6658:2005. Sensory analysis–Methodology–General guidance. Geneva, Switzerland: Interational Organization for Standardization, 2005.
    [20] Roessler EB, Pangborn RM, Sidel JL, et al. (1978) Expanded statistical tables for estimating significance in paired-preference, paired-difference, duo-trio and triangle tests. J Food Sci 43: 940–943. doi: 10.1111/j.1365-2621.1978.tb02458.x
    [21] Ross CF, Zwink AC, Castro L, et al. (2014) Odour detection threshold and consumer rejection of 1,1,6-trimethyl-1,2-dihydronaphthalene in 1-year-old Riesling wines. Aust J Grape Wine Res 20: 335–339. doi: 10.1111/ajgw.12085
    [22] Cliff M, Bansal M, Stanich K, et al. (2011) Comparison of new and existing threshold methods for evaluating sulfur compounds in different base wines. J Sens Stud 26: 184–196. doi: 10.1111/j.1745-459X.2011.00335.x
    [23] Perry D, Hayes J (2016) Effects of matrix composition on detection threshold estimates for methyl anthranilate and 2-aminoacetophenone. Foods 5: 35–35. doi: 10.3390/foods5020035
    [24] Peng M, Jaeger SR, Hautus MJ (2012) Determining odour detection thresholds: Incorporating a method-independent definition into the implementation of ASTM E679. Food Qual Prefer 25: 95–104. doi: 10.1016/j.foodqual.2012.02.006
  • This article has been cited by:

    1. A. M. Mislata, M. Puxeu, E. Tomás, E. Nart, R. Ferrer-Gallego, Influence of the oxidation in the aromatic composition and sensory profile of Rioja red aged wines, 2020, 246, 1438-2377, 1167, 10.1007/s00217-020-03473-4
    2. João M. Gaspar, Ana I. Freitas, Qianzhu Zhao, João M. Leça, Vanda Pereira, José C. Marques, Is Sotolon Relevant to the Aroma of Madeira Wine Blends?, 2019, 9, 2218-273X, 720, 10.3390/biom9110720
    3. Agathe Goullet, Farnaz Hanaei, Nadine Vallet, Marie‐Françoise Nonier, Nathalie Vivas, Nicolas Vivas, Magali Picard, A sensory characterization of some N‐heterocycles in model spirit matrix: Influence of ethanol and several chemical features on aroma perception, 2023, 38, 0882-5734, 108, 10.1002/ffj.3729
    4. Teresa Abreu, Rosa Perestrelo, Matteo Bordiga, Monica Locatelli, Jean Daniel Coïsson, José S. Câmara, The Flavor Chemistry of Fortified Wines—A Comprehensive Approach, 2021, 10, 2304-8158, 1239, 10.3390/foods10061239
    5. R. Juan-Ovejero, A. Elghouat, C. J. Navarro, M. P. Reyes-Martín, M. N. Jiménez, F. B. Navarro, D. Alcaraz-Segura, J. Castro, Estimation of aboveground biomass and carbon stocks of Quercus ilex L. saplings using UAV-derived RGB imagery, 2023, 80, 1297-966X, 10.1186/s13595-023-01210-x
  • Reader Comments
  • © 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5278) PDF downloads(1085) Cited by(5)

Article outline

Figures and Tables

Figures(3)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog